Prepared by, practical leader and lecturer: Sharib Ali
Course materials from taught in: 2020, 2021
About the course: You will find deep learrning basic ingrediants to advanced DL teaching/learning materials.
- Playing with ingrediants of deep learning
- Learn to make simple MLP and CNN network
- Implement AlexNet and metric calculations on CIFAR10 dataset
- Solution to AlexNet and ROC-curve
- UNet implementation exercise
- Lecture slide 2020: Introduction to deep learning
- Lecture slide 2021: How to improve your DL network?
- Other DL Lecture slides 2021 (upon request or refer to canvas)
- Tutorials on transfer learning and attention networks
Special acknowledgement to the available resources from Standford CS231n and Coursera lectures from Andrew Ng.